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Dive into the research topics where Tirthankar Dasgupta is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Unpacking Compound Treatments in Email Audit Experiments
Dasgupta, T. (CoPI), Libgober, B. (CoPI) & Pashley, N. (PI)
9/1/22 → 8/31/25
Project: Research project
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EAGER: Collaborative Research: MATDAT18 Type-I: Development of a machine learning framework to optimize ReaxFF force field parameters
Dasgupta, T. (PI) & Hung, Y. (CoPI)
10/1/18 → 9/30/20
Project: Research project
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Design and Analysis of Optimization Experiments with Internal Noise to Maximize Alignment of Carbon Nanotubes
Dasgupta, T. (PI)
5/1/17 → 8/31/19
Project: Research project
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Design and Analysis of Optimization Experiments with Internal Noise to Maximize Alignment of Carbon Nanotubes
Dasgupta, T. (PI) & Vecitis, C. D. (CoPI)
9/1/16 → 7/31/17
Project: Research project
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Collaborative Research: Geometric Shape Error Control for High-Precision Additive Manufacturing
Dasgupta, T. (PI)
8/15/13 → 7/31/17
Project: Research project
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Optimal allocation of sample size for randomization-based inference from 2K factorial designs
Ravichandran, A., Pashley, N. E., Libgober, B. & Dasgupta, T., Jan 1 2024, In: Journal of Causal Inference. 12, 1, 20230046.Research output: Contribution to journal › Article › peer-review
Open Access -
Comparative Efficacy of Superheated Dry Steam Application and Insecticide Spray Against Common Bed Bugs Under Simulated Field Conditions
Ramos, R. S., Cooper, R., Dasgupta, T., Pashley, N. E. & Wang, C., Feb 10 2023, In: Journal of economic entomology. 116, 1, p. 12-18 7 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
CAUSAL INFERENCE FROM POSSIBLY UNBALANCED SPLIT-PLOT DESIGNS: A RANDOMIZATION-BASED PERSPECTIVE
Mukerjee, R. & Dasgupta, T., 2022, In: Statistica Sinica. 32, p. 51-612 562 p.Research output: Contribution to journal › Article › peer-review
Open Access -
CLAIMED: A CLAssification-Incorporated Minimum Energy Design to Explore a Multivariate Response Surface With Feasibility Constraints
Sengul, M. Y., Song, Y., He, L., Van Duin, A. C. T., Hung, Y. & Dasgupta, T., Oct 1 2022, In: IEEE Transactions on Automation Science and Engineering. 19, 4, p. 2862-2873 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
INDEEDopt: a deep learning-based ReaxFF parameterization framework
Sengul, M. Y., Song, Y., Nayir, N., Gao, Y., Hung, Y., Dasgupta, T. & van Duin, A. C. T., Dec 2021, In: npj Computational Materials. 7, 1, 68.Research output: Contribution to journal › Article › peer-review
Open Access25 Scopus citations